use min/max instead of nanmin/nanmax because nans are already filtered out by isfinite

Author: gdementen

larray_editor/arraymodel.py

@@ -272,8 +272,8 @@ def reset_minmax(self):
             color_value = self.color_func(data) if self.color_func is not None else data
             # ignore nan, -inf, inf (setting them to 0 or to very large numbers is not an option)
             color_value = color_value[np.isfinite(color_value)]
-            self.vmin = float(np.nanmin(color_value))
-            self.vmax = float(np.nanmax(color_value))
+            self.vmin = float(np.min(color_value))
+            self.vmax = float(np.max(color_value))
             self.bgcolor_possible = True
         # ValueError for empty arrays, TypeError for object/string arrays
         except (TypeError, ValueError):

larray_editor/arraywidget.py

@@ -864,7 +864,7 @@ def format_helper(self, data):
         if not data.size:
             return 0, 0, False
         data = np.where(np.isfinite(data), data, 0)
-        vmin, vmax = np.nanmin(data), np.nanmax(data)
+        vmin, vmax = np.min(data), np.max(data)
         absmax = max(abs(vmin), abs(vmax))
         logabsmax = math.log10(absmax) if absmax else 0
         # minimum number of zeros before meaningful fractional part